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GECCO
2009
Springer
15 years 8 months ago
Novelty of behaviour as a basis for the neuro-evolution of operant reward learning
An agent that deviates from a usual or previous course of action can be said to display novel or varying behaviour. Novelty of behaviour can be seen as the result of real or appar...
Andrea Soltoggio, Ben Jones
GECCO
2008
Springer
149views Optimization» more  GECCO 2008»
15 years 5 months ago
Real-time imitation-based adaptation of gaming behaviour in modern computer games
In the course of the recent complexification and sophistication of commercial computer games, the creation of competitive artificial players that are able to behave intelligentl...
Steffen Priesterjahn, Alexander Weimer, Markus Ebe...
CORR
2006
Springer
130views Education» more  CORR 2006»
15 years 4 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
GECCO
2007
Springer
196views Optimization» more  GECCO 2007»
15 years 10 months ago
Optimal nesting of species for exact cover of resources: two against many
The application of resource-defined fitness sharing (RFS) to shape nesting problems reveals a remarkable ability to discover tilings [7, 8]. These tilings represent exact covers...
Jeffrey Horn
EENERGY
2010
15 years 7 months ago
Energy-aware traffic engineering
Energy consumption of the Internet is already substantial and it is likely to increase as operators deploy faster equipment to handle popular bandwidthintensive services, such as ...
Nedeljko Vasic, Dejan Kostic